Multimedia Data Delivery Characteristics Signaling for QoS Management
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Solution Overview
Problem
In multimedia communication systems, especially in dynamic network environments, existing resource reservation protocols struggle to guarantee Quality of Service (QoS) due to changes in network conditions, such as UE movement and electronic interference, leading to inefficient resource allocation and sharing among User Equipments (UEs).
Innovation Solution
The proposed solution involves transmitting and receiving multimedia data delivery characteristics information on a preset multimedia data unit basis, using Media Processing Unit (MPU) Delivery Characteristics (MDC) information and SubAsset Delivery Characteristics (SubADC) information, which includes parameters like transmission packet loss characteristics, delay sensitivity, minimum and peak bit rates, and buffer sizes, to dynamically manage QoS and reserve resources effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If resource reservation protocols (RSVP, tspec, rspec, flowspec) are used to guarantee QoS, then QoS reliability is improved, but device complexity and protocol compatibility requirements increase
Solution Approach 1:
The patent segments the QoS parameter representation into multiple standardized components (traffic rate, buffer size, latency, jitter, packet loss) that can be independently managed and combined. This segmentation allows the system to use simpler individual parameter measurements while achieving comprehensive QoS guarantees through their integration, reducing overall protocol complexity.
Solution Approach 2:
The patent creates a universal QoS parameter set that can be applied across multiple communication standards (IEEE 802.16, 3GPP LTE/UMTS, IETF RSVP). By defining a common parameter framework that works across different protocols and networks, the system achieves QoS guarantees without requiring protocol-specific complex implementations, thereby reducing device complexity while maintaining reliability.
2Adaptability or versatility
If double leaky bucket parameters (Rg, Rp, Bp, B) are used to express variable bit rate traffic, then QoS management capability is improved, but information overhead and signaling complexity increase
Solution Approach 1:
The patent extracts the essential QoS characteristics from complex traffic patterns and represents them using a standardized set of key parameters. By identifying and measuring only the critical parameters (traffic rate, buffer size, latency, jitter, packet loss) that define QoS requirements, the system achieves effective QoS management capability while minimizing signaling overhead by excluding redundant information.
Solution Approach 2:
The patent transforms variable bit rate traffic characteristics into a standardized parameter format that can be efficiently signaled and processed. By changing the representation from raw traffic variations to normalized QoS parameters with defined ranges and units, the system achieves versatile QoS management while reducing information overhead through compact parameter encoding and standardized measurement units.
3Reliability
If resources are reserved in advance for multimedia services, then QoS reliability is improved, but resource allocation efficiency decreases in dynamic network environments
Solution Approach 1:
The patent implements dynamic QoS parameter measurement and reporting that adapts to changing network conditions. Instead of static pre-reserved resources, the system continuously monitors actual traffic characteristics and network performance, adjusting QoS parameters in real-time. This dynamic approach maintains QoS reliability by responding to actual conditions while improving resource allocation efficiency by releasing or reallocating resources when they are no longer needed.
Solution Approach 2:
The patent incorporates feedback mechanisms where QoS parameters are measured, reported, and used to adjust resource allocation decisions. The system receives feedback about actual traffic patterns and network performance, then uses this information to optimize resource reservation and allocation. This feedback loop ensures QoS reliability is maintained through continuous monitoring while improving productivity by allocating resources based on actual demand rather than static predictions.
Data Source
AI summary
A method for transmitting multimedia data delivery characteristics information by a multimedia data transmission apparatus in a multimedia communication system is provided. The method includes transmitting, to a multimedia data reception apparatus, an element indicating whether multimedia data delivery characteristics information denoting information related to a Quality of Service (QoS) for multimedia data is included, and the multimedia data delivery characteristics information if the element indicates that the multimedia data delivery characteristics information is included.


